The Essential Guide to Training Data for Machine Learning
Training data is a collection of labeled information that’s used to build a machine learning model. It usually consists of text, images, video, or audio. (more…)
Read more »Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Inference attacks against Machine Learning (ML) models allow adversaries to
learn information about training data, model parameters, etc. While researchers
have studied these attacks thoroughly, they have done so in isolation. We lack
a comprehensive pict… Read more